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Mastering Julia

You're reading from   Mastering Julia Enhance your analytical and programming skills for data modeling and processing with Julia

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805129790
Length 506 pages
Edition 2nd Edition
Languages
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Author (1):
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Malcolm Sherrington Malcolm Sherrington
Author Profile Icon Malcolm Sherrington
Malcolm Sherrington
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Table of Contents (14) Chapters Close

Preface 1. Chapter 1: The Julia Environment 2. Chapter 2: Developing in Julia FREE CHAPTER 3. Chapter 3: The Julia Type System 4. Chapter 4: The Three Ms 5. Chapter 5: Interoperability 6. Chapter 6: Working with Data 7. Chapter 7: Scientific Programming 8. Chapter 8: Visualization 9. Chapter 9: Database Access 10. Chapter 10: Networks and Multitasking 11. Chapter 11: Julia’s Back Pages 12. Index 13. Other Books You May Enjoy

DEs

DEs are those that have terms that involve the rates of change of variates as well as the variates themselves. They arise naturally in a number of fields, notably dynamics. When the changes are with respect to one dependent variable, most often the systems are called ordinary DEs (ODEs). If more than a single dependent variable is involved, then they are termed partial DEs (PDEs).

Julia has several packages that aid the calculation of differentials of functions and solve systems of DEs; these are grouped together under the JuliaDiffEq community group and are now encapsulated as a suite for numerically solving DEs covered by an envelope package, DifferentialEquations.jl, whose purpose is to supply efficient Julia implementations of solvers for a wide variety of DEs.

Equations covered by this package include:

  • Discrete equations (function maps, discrete stochastic simulations)
  • ODEs
  • Split and partitioned ODEs (symplectic integrators, implicit-explicit (IMEX) methods...
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